Smart Systems Design, Applications, and Challenges

Smart Systems Design, Applications, and Challenges

João M.F. Rodrigues (Universidade do Algarve, Portugal & LARSyS, Institute for Systems and Robotics, Lisbon, Portugal), Pedro J.S. Cardoso (Universidade do Algarve, Portugal & LARSyS, Institute for Systems and Robotics, Lisbon, Portugal), Jânio Monteiro (Universidade do Algarve, Portugal & INESC-ID, Lisbon, Portugal) and Célia M.Q. Ramos (Universidade do Algarve, Portugal & CIEO, Portugal)
Release Date: February, 2020|Copyright: © 2020 |Pages: 459
DOI: 10.4018/978-1-7998-2112-0
ISBN13: 9781799821120|ISBN10: 1799821129|EISBN13: 9781799821144|ISBN13 Softcover: 9781799821137
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Description & Coverage
Description:

Smart systems when connected to artificial intelligence (AI) are still closely associated with some popular misconceptions that cause the general public to either have unrealistic fears about AI or to expect too much about how it will change our workplace and life in general. It is important to show that such fears are unfounded, and that new trends, technologies, and smart systems will be able to improve the way we live, benefiting society without replacing humans in their core activities.

Smart Systems Design, Applications, and Challenges provides emerging research that presents state-of-the-art technologies and available systems in the domains of smart systems and AI and explains solutions from an augmented intelligence perspective, showing that these technologies can be used to benefit, instead of replace, humans by augmenting the information and actions of their daily lives. The book addresses all smart systems that incorporate functions of sensing, actuation, and control in order to describe and analyze a situation and make decisions based on the available data in a predictive or adaptive manner. Highlighting a broad range of topics such as business intelligence, cloud computing, and autonomous vehicles, this book is ideally designed for engineers, investigators, IT professionals, researchers, developers, data analysts, professors, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Augmented Analytics
  • Autonomous Vehicles
  • Business Intelligence
  • Cloud Computing
  • Cryptocurrency
  • Machine Learning
  • Smart Cities
  • Smart Tourism
  • Virtual Reality
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